Senior Engineer, Data & Analytics - IND

Senior Data & Analytics Engineer

Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today's volatility and disruption. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.

The Data & Analytics team drives Kinaxis' transformation into a data-driven organization. By designing and governing scalable, modern data ecosystems, we ensure reliable, high-quality, and accessible data that empowers decision-making across the company. Our expertise spans data integration, engineering, governance, business intelligence, and cloud cost optimization, enabling actionable insights, operational efficiency, and new business opportunities.

We are seeking a Senior Data & Analytics Engineer to help modernize and advance our data ecosystem. This cross-functional role involves data integration, engineering, modeling, business intelligence, and observability. You will collaborate with stakeholders and team members to transform legacy systems into a cloud-native, modern data stack, crafting innovative data products that enable data-driven decision-making across Kinaxis.

Your contributions will support the foundation of Kinaxis' strategic data initiatives by ensuring the quality and reliability of data pipelines that impact operational decision-making and enabling new revenue streams for the organization. Finally, your ability to engage stakeholders and craft compelling data stories will be critical to your success in this role.

Modernization & Development:

• Assist in the transition of legacy systems to a cloud-native, modern data stack leveraging tools such as dbt, BigQuery, Looker, CI/CD, Git, Databricks, PowerBI, Datadog and Grafana.
• Help build innovative, scalable, and reliable data products that support Kinaxis' strategic goals.
• Build and maintain robust, scalable, and efficient data pipelines (batch and stream-based).
• Build and maintain application to application data connectors
• Implement data validation, cleansing, and error-handling mechanisms to maintain high data quality and reliability.
• Stay up to date on the latest technology trends and best practices as they relate to your role.

Collaboration & Solution Design:

• Partner with cross-functional teams to design and deliver data solutions that meet business needs.
• Collaborate with peers specializing in FinOps, Data Architecture, Data Governance and Cloud Engineering to address diverse organizational needs.
• Troubleshoot complex data engineering challenges with a focus on scalability and reliability.
• Work collaboratively to prioritize tasks and deliver solutions in an agile environment.
• Play a leadership role in project delivery and troubleshoot complex problems.
• Help train and mentor junior engineers.

Insights & Enablement:

• Develop data models and dashboards to empower stakeholders with actionable insights.
• Develop and maintain BI models and visually appealing reports/dashboards
• Champion data-driven decision-making by ensuring stakeholders have access to meaningful, high-quality data.

Storytelling & Influence:

• Deliver compelling presentations and narratives to engage stakeholders and influence leadership.
• Advocate for innovative data strategies that align with Kinaxis' growth and innovation objectives.

What we are looking for:

• 7+ years in data engineering, analytics engineering, software engineering, or related fields.
• Demonstrated expertise in traditional and modern data systems with hands-on experience building scalable, reliable solutions.
• Hands-on experience with tools such as Snowflake, Databricks, Informatica, dbt, BigQuery, Looker and/or Power BI.
• Proficiency in software engineering principles, including CI/CD pipelines, version control (Git)), RESTful APIs and scripting languages (Python, SQL)
• Familiarity with cloud infrastructure and supportive Observability tooling (Logstash, Datadog, Grafana)
• Strong problem-solving abilities with a customer-centric and innovative mindset.
• Exceptional storytelling and presentation skills for engaging stakeholders and influencing leadership.
• Passion for solving complex problems, a collaborative spirit, and a drive to deliver impactful solutions.
• Google Cloud Professional Data Engineer certification is a plus
• Familiarity with infrastructure-as-code (Terraform) and/or configuration-as-code (Ansible)
• Familiarity with FinOps and the ability to implement cost-saving strategies in the cloud is a plus
• Experience working for a SaaS company is a plus

People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:

• Flexible vacation and Kinaxis Days (company-wide days off)
• Flexible work options
• Physical and mental well-being programs
• Regularly scheduled virtual fitness classes
• Mentorship programs, training, and career development
• Recognition programs and referral rewards
• Hackathons